Patents by Inventor Andriy Andreyev

Andriy Andreyev has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230009951
    Abstract: Improved (e.g., high-throughput, low-noise, and/or low-artifact) X-ray Microscopy images are achieved using a deep neural network trained via an accessible workflow. The workflow involves selection of a desired improvement factor (x), which is used to automatically partition supplied data into two or more subsets for neural network training. The neural network is trained by generating reconstructed volumes for each of the subsets. The neural network can be trained to take projection images or reconstructed volumes as input and output improved projection images or improved reconstructed volumes as output, respectively. Once trained, the neural network can be applied to the training data and/or subsequent data—optionally collected at a higher throughput—to ultimately achieve improved de-noising and/or other artifact reduction in the reconstructed volume.
    Type: Application
    Filed: July 9, 2021
    Publication date: January 12, 2023
    Inventors: Matthew ANDREW, Lars OMLOR, Andriy ANDREYEV, Christoph Hilmar GRAF VOM HAGEN
  • Patent number: 11428829
    Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform an image reconstruction method (100) to reconstruct list mode data acquired over a frame acquisition time using a plurality of radiation detectors (17) in which the events of the list mode data is timestamped.
    Type: Grant
    Filed: January 30, 2019
    Date of Patent: August 30, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Xiyun Song, Chuanyong Bai, Jinghan Ye, Andriy Andreyev, Zhiqiang Hu
  • Patent number: 11398064
    Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a workstation (14) operatively connected to a display device (20) and including at least one electronic processor (16) to perform an image acquisition and reconstruction method (101). The method includes: retrieving a non-voxel-based reconstructed image comprising non-voxel image elements from a picture and archiving communication system (PACS) database (24) to the workstation; at the workstation, generating at least one voxel-based resampled image from the non-voxel-based reconstructed image; and displaying the at least one voxel-based reconstructed image on the display device.
    Type: Grant
    Filed: September 18, 2018
    Date of Patent: July 26, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Bin Zhang, Chuanyong Bai, Andriy Andreyev, Zhiqiang Hu
  • Patent number: 11393138
    Abstract: A non-transitory storage medium stores instructions readable and executable by an electronic processor (20) to perform a method (100) for estimating singles rates for detectors (16) of a detector array (14) of a positron emission tomography (PET) imaging device (12).
    Type: Grant
    Filed: September 20, 2018
    Date of Patent: July 19, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Xiyun Song, Jinghan Ye, Andriy Andreyev, Chuanyong Bai, Zhiqiang Hu
  • Patent number: 11354834
    Abstract: A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (20) to perform an image reconstruction method (100). The method includes: performing iterative image reconstruction of imaging data acquired using an image acquisition device (12); selecting an update image from a plurality of update images produced by the iterative image reconstruction; processing the selected update image to generate a hot spot artifact map; and suppressing hot spots identified by the generated hot spot artifact map in a reconstructed image output by the iterative image reconstruction.
    Type: Grant
    Filed: December 24, 2018
    Date of Patent: June 7, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Shekhar Dwivedi, Chuanyong Bai, Andriy Andreyev, Bin Zhang, Zhiqiang Hu
  • Patent number: 11354832
    Abstract: A non-transitory computer readable medium storing instructions readable and executable by an imaging workstation (14) including at least one electronic processor (16) to perform a dataset generation method (100) operating on emission imaging data acquired of a patient for one or more axial frames at a corresponding one or more bed positions, the method comprising: (a) identifying a frame of interest from the one or more axial frames; (b) generating simulated lesion data by simulating emission imaging data for the frame of interest of at least one simulated lesion placed in the frame of interest; (c) generating simulated frame emission imaging data by simulating emission imaging data for the frame of interest of the patient; (d) determining a normalization factor comprising a ratio of the value of a quantitative metric for the simulated patient data and the value of the quantitative metric for the emission imaging data acquired of the same patient for the frame of interest; and (e) generating a hybrid data set
    Type: Grant
    Filed: May 1, 2018
    Date of Patent: June 7, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Chuanyong Bai, Andriy Andreyev, Xiyun Song, Jinghan Ye, Bin Zhang, Shekhar Dwivedi, Yanfei Mao, Zhiqiang Hu
  • Patent number: 11311263
    Abstract: A non-transitory computer-readable medium stores instructions executable by a processor to perform an acquisition and reconstruction method for a first image acquisition device. The method includes determining a scheduled acquisition time based on an attenuation map derived from imaging data from a second image acquisition device and a sensitivity matrix of the first image acquisition device; acquiring emission imaging data using the first image acquisition device, where the acquiring is scheduled to be performed over the scheduled acquisition time; during an initial portion of the acquiring, measuring a count or count rate of the acquired emission imaging data; adjusting the scheduled acquisition time based on the measured count or count rate to generate an adjusted acquisition time while continuing the acquiring; stopping the acquiring at the adjusted acquisition time; and reconstructing the emission imaging data acquired over the adjusted acquisition time to generate one or more reconstructed images.
    Type: Grant
    Filed: November 26, 2018
    Date of Patent: April 26, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Chuanyong Bai, Andriy Andreyev
  • Patent number: 11282242
    Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform an image reconstruction method (100). The method includes: generating, from received imaging data, a plurality of intermediate images reconstructed without scatter correction from data partitioned into different energy windows; generating a fraction of true counts and a fraction of scatter events in the generated intermediate images; generating a final reconstructed image from the intermediate images, the fraction of true counts in the intermediate images, and the fraction of scatter counts in the intermediate images; and at least one of controlling the non-transitory computer readable medium to store the final image and control a display device (24) to display the final image.
    Type: Grant
    Filed: January 24, 2019
    Date of Patent: March 22, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Jinghan Ye, Xiyun Song, Chuanyong Bai, Andriy Andreyev, Chi-Hua Tung, Zhiqiang Hu
  • Patent number: 11234667
    Abstract: A non-transitory storage medium storing instructions readable and executable by an imaging workstation (18) including at least one electronic processor (20) to perform an image reconstruction method (100). The method includes: receiving emission imaging data (22) from an image acquisition device (12) wherein the emission imaging data has been filtered using an acquisition energy passband (18); generating filtered imaging data by filtering the emission imaging data with a second energy passband (90) that is narrower than an acquisition energy passband; reconstructing the filtered imaging data to generate an intermediate image; estimating one or more scatter correction factors (SCFs) from the intermediate image; and reconstructing the emission imaging data corrected with the estimated SCFs to generate a reconstructed image.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: February 1, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Andriy Andreyev, Xiyun Song, Jinghan Ye, Chuanyong Bai, Zhiqiang Hu, Douglas B. McKnight
  • Publication number: 20220012928
    Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform an imaging method (100). The method includes: receiving imaging data on a frame by frame basis for frames along an axial direction with neighboring frames overlapping along the axial direction wherein the frames include at least a volume (k) and a succeeding volume (k+1) at least partially overlapping the volume (k) along the axial direction; and generating an image of the volume (k) using an iterative image reconstruction process in which an iteration of the iterative image reconstruction process includes: computing a local penalty function for suppressing noise over the volume (k) including reducing the value of the local penalty function in an overlap region; generating an update image of the volume (k) using imaging data from the volume (k) and further using the local penalty function.
    Type: Application
    Filed: November 15, 2019
    Publication date: January 13, 2022
    Inventors: Andriy ANDREYEV, Xiyun SONG, Ravindra Mohan MANJESHWAR
  • Patent number: 11210820
    Abstract: Iterative reconstruction (20) of imaging data is performed to generate a sequence of update images (22) terminating at a reconstructed image. During the iterative reconstruction, at least one of an update image and a parameter of the iterative reconstruction is adjusted using an adjustment process separate from the iterative reconstruction. In some embodiments using an edge-preserving regularization prior (26), the adjustment process (30) adjusts an edge preservation threshold to reduce gradient steepness above which edge preservation applies for later iterations compared with earlier iterations. In some embodiments, the adjustment process includes determining (36, 38) for each pixel, voxel, or region of a current update image whether its evolution prior to the current update image 22) satisfies an artifact feature criterion. A local noise suppression operation (40) is performed on the pixel, voxel, or region if the evolution satisfies the artifact feature criterion and is not performed otherwise.
    Type: Grant
    Filed: September 25, 2017
    Date of Patent: December 28, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Andriy Andreyev, Chuanyong Bai, Bin Zhang, Faguo Yang, Shekhar Dwivedi, Zhiqiang Hu
  • Publication number: 20210398329
    Abstract: A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (181, 182, 20) to perform an imaging method (100). The method includes: reconstructing emission imaging data to generate an emission image of a lesion; converting intensity values of the emission image to at least one standardized uptake value (SUV value) for the lesion; processing input data using a regression neural network (NN) (28) to output an SUV correction factor for the lesion, wherein the input data includes at least two of (i) image data comprising the emission image or a feature vector representing the emission image, (ii) the at least one SUV value, (iii) a size of the lesion, and (iv) reconstruction parameters used in the reconstructing; and controlling a display device (24) to display at least one of (I) the SUV correction factor and (II) a corrected SUV value generated by applying the SUV correction factor to the at least one SUV value.
    Type: Application
    Filed: November 8, 2019
    Publication date: December 23, 2021
    Inventors: Andreas Georg GOEDICKE, Bin ZHANG, Andriy ANDREYEV, Andre Frank SALOMON, Yanfei MAO, Chuanyong BAI, Zhiqiang HU
  • Publication number: 20210375009
    Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform an image reconstruction method (100). The method includes: generating, from received imaging data, a plurality of intermediate images reconstructed without scatter correction from data partitioned into different energy windows; generating a fraction of true counts and a fraction of scatter events in the generated intermediate images; generating a final reconstructed image from the intermediate images, the fraction of true counts in the intermediate images, and the fraction of scatter counts in the intermediate images; and at least one of controlling the non-transitory computer readable medium to store the final image and control a display device (24) to display the final image.
    Type: Application
    Filed: January 24, 2019
    Publication date: December 2, 2021
    Inventors: Jinghan YE, Xiyun SONG, Chuanyong BAI, Andriy ANDREYEV, Chi-Hua TUNG, Zhiqiang HU
  • Publication number: 20210366165
    Abstract: A non-transitory computer-readable medium stores instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform an image reconstruction method (100).
    Type: Application
    Filed: January 24, 2019
    Publication date: November 25, 2021
    Inventors: Xiyun SONG, Jinghan YE, Yanfei MAO, Chuanyong BAI, Andriy ANDREYEV, Gregory DOUGHTY, Leonid ROMANOV, Zhiqiang HU
  • Patent number: 11175418
    Abstract: A non-transitory computer-readable medium storing instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform a quality control (QC) method (100). The method includes: receiving a current QC data set acquired by a pixelated detector (14) and one or more prior QC data sets acquired by the pixelated detector; determining stability levels of detector pixels (16) of the pixelated detector over time from the current QC data set and the one or more prior QC data sets; labeling a detector pixel of the pixelated detector as dead when the stability level determined for the detector pixel is outside of a stability threshold range; and displaying, on a display device (24) operatively connected with the workstation, an identification (28) of the detector pixels labelled as dead.
    Type: Grant
    Filed: September 12, 2018
    Date of Patent: November 16, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Chuanyong Bai, Andriy Andreyev, Shushen Lin, Bin Zhang, Michael Allen Miller, Xiyun Song, Jinghan Ye, Shekhar Dwivedi, Zhiqiang Hu, Yu-Lung Hsieh, Ilya Brodskiy, Thomas Christopher Bulgrin, Yang-Ming Zhu, Douglas B. McKnight
  • Patent number: 11158094
    Abstract: A nuclear medicine image reconstruction method generates a reconstructed image (44) by performing iterative image in reconstruction (30, 130) on nuclear medicine imaging data (22). The iterative image reconstruction produces a sequence of update images (34, 36, 134, 136). During the iterative image reconstruction, a standardized uptake value (SUV) transform (40) is applied to convert an update image (34, 36) to an update SUV image (42, 46). The SUV transform scales values of voxels of the update image to SUV values using scaling factors including at least a body size metric and a dose metric. During the iterative image reconstruction, at least one parameter used in an image update of the iterative image reconstruction is adjusted using the update SUV image. For example, a parameter of a prior or filter (38) incorporated into an image reconstruction update step (32) or used in filtering of an update image (36) may be adjusted.
    Type: Grant
    Filed: January 3, 2018
    Date of Patent: October 26, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Bin Zhang, Chuanyong Bai, Shushen Lin, Andriy Andreyev, Zhiqiang Hu
  • Publication number: 20210298701
    Abstract: A device (10) for performing an amyloid assessment includes a radiation detector assembly (12) including at least one radiation detector (14). At least one electronic processor (20) is programmed to: detect radiation counts over a data acquisition time interval using the radiation detector assembly; compute at least one current count metric from the detected radiation counts; store the at least one current count metric associated with a current test date in a non-transitory storage medium (26); and determine an amyloid metric based on a comparison of the at least one current count metric with a count metric stored in the non-transitory storage medium associated with an earlier test date.
    Type: Application
    Filed: August 13, 2019
    Publication date: September 30, 2021
    Inventors: Andriy ANDREYEV, Douglas B. McKNIGHT, Nathan SERAFINO, Dane PITTOCK, Chuanyong BAI, Chi-Hua TUNG
  • Patent number: 11073628
    Abstract: Timing calibration of a positron emission tomography (PET) imaging device (2) uses a radioactive source (20) comprising a positron-emitting radioisotope having a decay path including emission of two oppositely directed 511 keV gamma rays and a cascade gamma ray at a cascade gamma ray energy. A timestamped radiation detection event data set acquired from the radioactive source by the PET imaging device is processed using energy window filtering (32) and time window filtering (36) to generate a coincidence data set (40, 42, 44) including event pairs (40) each consisting of two coincident 511 keV events and cascade event pairs (42) or triplets (44) each consisting of at least one coincident 511 keV event and a coincident cascade event at the cascade gamma ray energy. A timing calibration (12) is generated using the coincidence data set. The timing calibration comprises offset times for PET detectors of the PET imaging device.
    Type: Grant
    Filed: May 4, 2018
    Date of Patent: July 27, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Leonid Romanov, Andriy Andreyev, Thomas Christoher Bulgrin
  • Patent number: 11069098
    Abstract: An imaging data set (22) comprising detected counts along lines of response (LORs) is reconstructed (24) to generate a full-volume image at a standard resolution. A region selection graphical user interface (GUI) (26) is provided via which a user-chosen region of interest (ROI) is defined in the full-volume image, and this is automatically adjusted by identifying an anatomical feature corresponding to the user-chosen ROI and adjusting the user-chosen ROI to improve alignment with that feature. A sub-set (32) of the counts of the imaging data set is selected (30) for reconstructing the ROI, and only the selected sub-set is reconstructed (34) to generate a ROI image (36) representing the ROI at a higher resolution than the standard resolution. A fraction of the sub-set of counts may be reconstructed using different reconstruction algorithms (40) to generate corresponding sample ROI images, and a reconstruction algorithm selection graphical user interface (42) employs these sample ROI images.
    Type: Grant
    Filed: November 22, 2017
    Date of Patent: July 20, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Shekhar Dwivedi, Andriy Andreyev, Chuanyong Bai, Chi-Hua Tung
  • Patent number: 11061151
    Abstract: A positron emission tomography (PET) detector array includes an enclosing radiation detector array (10) comprising radiation detector elements (14, 16) effective for detecting 511 keV radiation emanating from inside the radiation detector array. The radiation detector pixels of the cylindrical radiation detector array include both higher speed radiation detector elements (14) and lower speed radiation detector elements (16). The lower speed radiation detector pixels have a temporal resolution that is coarser than a temporal resolution of the higher speed radiation detector pixels.
    Type: Grant
    Filed: December 4, 2017
    Date of Patent: July 13, 2021
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Chuanyong Bai, Andriy Andreyev, Bin Zhang, Zhiqiang Hu